Portkey.ai: Enterprise-Grade AI Development Made Simple

Portkey.ai is a powerful, production-ready platform designed for developers and organizations building scalable AI applications. It streamlines the integration and management of over 1,600 LLMs across multiple providers—including OpenAI, Anthropic, Mistral, AWS Bedrock, and Azure OpenAI—through a unified, OpenAI-compliant API. With features like AI Gateway, Model Catalog, Prompt Management, Observability, Guardrails, and Agent workflows, Portkey enables seamless, secure, and high-performance AI deployment. Its advanced capabilities include real-time analytics, semantic and simple caching for up to 20x performance gains, automatic PII redaction, role-based access control (RBAC), SSO integration, and customizable routing rules with fallbacks and load balancing. Built with enterprise security in mind, Portkey supports HIPAA, GDPR, SOC2 Type 2, and ISO 27001 compliance, offers private cloud and on-prem deployment options, and ensures 0ms latency with 99.99% uptime. The platform is highly extensible, supporting self-hosted models via custom base URLs and integrating effortlessly with tools like Langchain and LlamaIndex. With a robust community, extensive documentation, and a free tier for developers, Portkey.ai empowers teams to build resilient, cost-optimized, and auditable AI systems at scale.

Key Features:

• AI Gateway: Unified API access to 1,600+ LLMs across providers and modalities (text, vision, audio, image generation).
• Model Catalog: Centralized governance for managing LLM access, with granular control, inheritance of provider credentials, and auto-enabling of new models.
• Prompt Management: Full-featured Prompt Engineering Studio with versioning, collaboration, templates, variables, playground, and deployment tools.
• Observability Dashboard: Real-time monitoring of LLM behavior, logs, traces, feedback, custom metadata, and alerts.
• Guardrails: Network-level and role-based guardrails to enforce safety, compliance, and ethical AI usage.
• Cost Optimization Tools: Budget limits, real-time cost tracking, and token-based or cost-based spending controls.
• Caching: Dual-mode caching (simple and semantic) for performance gains and cost reduction, with configurable TTL and namespace support.
• Smart Routing & Resilience: Automatic fallbacks, load balancing, retries, canary testing, and circuit breakers for high availability.
• Security & Compliance: End-to-end encryption (AES-256), data isolation, private cloud and on-prem deployment, SSO (Okta, OIDC), and support for custom BAAs.
• Developer Experience: Integrates in just 3 lines of code, supports Node.js, Python, OpenAI SDKs, and cURL, with detailed docs, cookbooks, and community support.
• Enterprise-Ready: Offers advanced features like VPC hosting, data export to data lakes, and quarterly audits for large-scale organizations.
• MCP Client & Agent Workflows: Simplifies AI agent development with the Model Context Protocol (MCP) Client and tools for Langgraph and CrewAI.
• Open-Source Gateway: The Portkey AI Gateway is open-source with 8,900+ GitHub stars, enabling transparency and customization.

Pricing: Portkey.ai offers a Free tier with 10,000 requests per month for the managed version, along with a Production and Enterprise tier for advanced features and higher scalability. The platform provides flexible pricing models including paid plans and enterprise contracts, with options for self-hosting and private deployments. The most accessible entry point is the Free tier, making it ideal for early adopters and teams testing production workflows.

Conclusion: Portkey.ai stands out as a comprehensive, secure, and developer-friendly platform for managing AI in production. With its powerful AI Gateway, centralized model and prompt management, and enterprise-grade compliance, it's the go-to solution for teams aiming to scale AI applications efficiently and responsibly.